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Knowledge-Based Systems
基本信息
期刊名称 Knowledge-Based Systems
KNOWL-BASED SYST
期刊ISSN 0950-7051
期刊官方网站 https://www.sciencedirect.com/journal/knowledge-based-systems
是否OA No
出版商 Elsevier B.V.
出版周期 Bimonthly
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始发年份
年文章数 874
影响因子 7.2(2023)  scijournal影响因子  greensci影响因子
中科院SCI期刊分区
大类学科 小类学科 Top 综述
工程技术2区 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机:人工智能2区
CiteScore
CiteScore排名 CiteScore SJR SNIP
学科 排名 百分位 14.8 2.219 2.226
Decision Sciences
Information Systems and Management
8/148 94%
Business, Management and Accounting
Management Information Systems
8/131 94%
Computer Science
Software
28/407 93%
Computer Science
Artificial Intelligence
31/350 91%
补充信息
自引率 9.7%
H-index 94
SCI收录状况 Science Citation Index Expanded
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PubMed Central (PMC) http://www.ncbi.nlm.nih.gov/nlmcatalog?term=0950-7051%5BISSN%5D
投稿指南
期刊投稿网址 https://www.editorialmanager.com/KNOSYS
收稿范围
Knowledge-based Systems is an international and interdisciplinary journal in the field of artificial intelligence. The journal will publish original, innovative and creative research results in the field, and is designed to focus on research in knowledge-based and other artificial intelligence techniques-based systems with the following objectives and capabilities: to support human prediction and decision-making through data science and computation techniques; to provide a balanced coverage of both theory and practical study in the field; and to encourage new development and implementation of knowledge-based intelligence models, methods, systems, and software tools, with applications in business, government, education, engineering and healthcare.

This journal's current leading topics are but not limited to:
Machine learning theory, methodology and algorithms
Data science theory, methodologies and techniques
Knowledge presentation and engineering
Recommender systems and E-service personalization
Intelligent decision support systems, prediction systems and warning systems
Computational Intelligence systems
Data-driven optimization
Cognitive interaction and brain–computer interface
Knowledge-based computer vision techniques


Special Issue Instructions

Knowledge-based Systems (KBS), an international and interdisciplinary peer-reviewed academic journal in the field of artificial intelligence, welcomes the submission of special issues on timely topics within the scope of the journal. The main objectives of the journal to organize special issues are to bring together state-of-the-art and high-quality research works, to promote key advances in the science and applications in the important field of knowledge-based systems, and to drive emerging research topics and establish flagships in the field.

How to submit your Special Issue proposal:
Check the selection criteria below for a KBS special issue to make sure your proposal is relevant to the journal,
Write your special issue proposal in the structure given below,
Submit the special issue proposal to the Editor-in-Chief (EiC),
The EiC and KBS special issue assessment panel will then review your proposal and reply with their decision.


Guest Editors' Duty and Special Issue Process:

After a special issue proposal is accepted by the journal, a call for papers can be formally distributed. All the papers submitted to the special issue will undergo a peer review process. Guest Editors will manage the process and ensure that the reviewing standards for Knowledge-Based Systems regular issues are maintained. A Managing Guest Editor, who will be responsible for distributing submissions to the other Guest Editors, will need to be nominated. After the Guest Editors make recommendations on each paper in the special issue, the EiC will make the final decisions of acceptance for publication. After all papers to be included in the Special Issue are accepted, the Guest Editors will be responsible for either preparing an Editorial (1–2 pages in length) or writing a field survey (5–10 pages in length), which will incorporate the selected papers and related literature relevant to the topic of the special issue.

Reproducibility Badge Initiative and Software Publication

Reproducibility Badge Initiative (RBI) is a collaboration with Code Ocean (CO), a cloud based computational reproducibility platform that helps the community by enabling sharing of code and data as a resource for non-commercial use. CO verifies the submitted code (and data) and certifies its reproducibility. Code submission will be verified by the Code Ocean team for computational reproducibility by making sure it runs, delivers results and it is self-contained. For more information please visit this help article. Note that an accepted paper will be published independently of the CO application outcome. However, if the paper receives the Reproducibility badge, it will be given additional exposure by having an attached R Badge, and by being citable at the CO website with a DOI.

We invite you to convert your open source software into an additional journal publication in Software Impacts, a multi-disciplinary open access journal. Software Impacts provides a scholarly reference to software that has been used to address a research challenge. The journal disseminates impactful and re-usable scientific software through Original Software Publications which describe the application of the software to research and the published outputs.

For more information contact us at: software.impacts@elsevier.com
收录体裁
Original high-quality research
review papers
Short communications
投稿指南 https://www.sciencedirect.com/journal/knowledge-based-systems/publish/guide-for-authors
投稿模板
参考文献格式 https://www.elsevier.com/journals/knowledge-based-systems/0950-7051/guide-for-authors
编辑信息
Editors in Chief

Professor Hamido Fujita

Iwate Prefectural University Faculty of Software and Information Science, 020-0193, Iwate, Japan 

Professor Jie Lu

University of Technology Sydney, Center for AI, Faculty of Engineering and IT, P.O. Box123, Broadway, Ultimo, Sydney, NSW 2007, New South Wales, Australia 
Founding Editor

Professor E.A. Edmonds

De Montfort University, Leicester, United Kingdom
Specialist Editor

Professor E. Herrera-Viedma

University of Granada Department of Computer Science and Artificial Intelligence, Granada, Spain
Editorial Advisory Board
Ngee Ann Polytechnic, Singapore, Singapore

Professor D. Benyon

Edinburgh Napier University, Edinburgh, United Kingdom

Professor E. Bonjour

University of Lorraine, Nancy, France
Nanyang Technological University School of Computer Engineering, Singapore, Singapore

Professor S.M. Chen

National Taiwan University of Science and Technology, Taipei, Taiwan

Professor F. Chiclana

De Montfort University, Leicester, United Kingdom

Dr. W.-P. Ding

Nantong University, Nantong, China

Dr. M. Dyer

University of California Los Angeles, Los Angeles, California, United States

Dr. M. Eisenberg

University of Colorado Boulder, Boulder, Colorado, United States

Professor G. Fischer

University of Colorado Boulder, Boulder, Colorado, United States

Professor J.S. Gero

University of North Carolina at Charlotte, Charlotte, North Carolina, United States

Professor F. Herrera

University of Granada Department of Computer Science and Artificial Intelligence, Granada, Spain

Professor C. Kahraman

Istanbul Technical University, İstanbul, Turkey

Professor T. Li

Southwest Jiaotong University, Chengdu, China

Dr. H. Lieberman

Massachusetts Institute of Technology, Cambridge, Massachusetts, United States

Dr. C.A. Miller

Smart Information Flow Technologies, Minneapolis, Minnesota, United States

Dr. D. Riecken

IBM Thomas J Watson Research Center, Yorktown Heights, New York, United States

Professor A. Selamat

University of Technology Malaysia School of Computing, Johor Bahru, Malaysia

Dr. K. Taylor

Australian National University, Canberra, Australia

Dr. L.G. Terveen

University of Minnesota, Minneapolis, Minnesota, United States

Dr. E. Tsui

The Hong Kong Polytechnic University, Kowloon, Hong Kong

Professor E. Tyugu

Tallinn University of Technology, Institute of Cybernetics, Tallinn, Estonia

Professor T. Wu

Shanghai Jiao Tong University - Fahua Campus, Shanghai, China

Professor Z. S. Xu

Sichuan University, Chengdu, Sichuan, China

Professor Y. Yao

University of Regina Department of Computer Science, Regina, Saskatchewan, Canada


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